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Experiencing breast cancer at the workplace

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  • Zanella, Giulio
  • Banerjee, Ritesh

Abstract

We study a dynamic natural experiment involving nearly 3000 American women of age 50–64 to understand how a woman's propensity to receive an annual mammography changes over time after a co-worker is diagnosed with breast cancer. We find that in the year this event occurs the probability of screening drops by about 6 percentage points, off a base level of 70%. This impact effect is persistent for at least two years. Underlying mechanisms and implications for health policy are discussed.

Suggested Citation

  • Zanella, Giulio & Banerjee, Ritesh, 2016. "Experiencing breast cancer at the workplace," Journal of Public Economics, Elsevier, vol. 134(C), pages 53-66.
    • Handle: RePEc:eee:pubeco:v:134:y:2016:i:c:p:53-66
    DOI: 10.1016/j.jpubeco.2016.01.006
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    References listed on IDEAS

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    6. Zanella, Giulio & Banerjee, Ritesh, 2016. "Experiencing breast cancer at the workplace," Journal of Public Economics, Elsevier, vol. 134(C), pages 53-66.
    7. Emily Oster & Ira Shoulson & E. Ray Dorsey, 2013. "Optimal Expectations and Limited Medical Testing: Evidence from Huntington Disease," American Economic Review, American Economic Association, vol. 103(2), pages 804-830, April.
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    Cited by:

    1. Natallia Gray & Gabriel Picone, 2018. "Evidence of Large-Scale Social Interactions in Mammography in the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 441-457, December.
    2. Amanda E Kowalski, 2023. "Behaviour within a Clinical Trial and Implications for Mammography Guidelines," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 432-462.
    3. Matilde Giaccherini & David Herberich & David Jimenez-Gomez & John List & Giovanni Ponti & Michael Price, 2020. "Are Economics and Psychology Complements in Household Technology Diffusion? Evidence from a Natural Field Experiment," Natural Field Experiments 00713, The Field Experiments Website.
    4. Matilde Giaccherini & David H. Herberich & David Jimenez-Gomez & John A. List & Giovanni Ponti & Michael K. Price, 2019. "The Behavioralist Goes Door-To-Door: Understanding Household Technological Diffusion Using a Theory-Driven Natural Field Experiment," NBER Working Papers 26173, National Bureau of Economic Research, Inc.
    5. Zanella, Giulio & Banerjee, Ritesh, 2016. "Experiencing breast cancer at the workplace," Journal of Public Economics, Elsevier, vol. 134(C), pages 53-66.

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    More about this item

    Keywords

    Breast cancer; Social interactions;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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